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author | Ellen Norris-Thompson <ellen.norris-thompson@arm.com> | 2019-07-15 14:23:30 +0100 |
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committer | Narumol Prangnawarat <narumol.prangnawarat@arm.com> | 2019-07-17 16:36:30 +0000 |
commit | 37e68686a4889b6e79b035356202903647671f13 (patch) | |
tree | f248e6ba83a3dcecc0c0bef829123a4378c23e99 /src/backends/neon/workloads/NeonResizeWorkload.cpp | |
parent | bcca1f4a7ba8364f7b5e58e8e8866ccd7d530f92 (diff) | |
download | armnn-37e68686a4889b6e79b035356202903647671f13.tar.gz |
IVGCVSW-3297 Add Neon backend support for ResizeNearestNeighbour
* Renamed NeonResizeBilinearWorkload.* to NeonResizeWorkload.* and added support for ResizeNearestNeighbour
* Added CreateWorkload and LayerTests for Neon backend
Signed-off-by: Ellen Norris-Thompson <ellen.norris-thompson@arm.com>
Change-Id: I72f5340608a0928f8b32a41d1915ee2c35849f18
Diffstat (limited to 'src/backends/neon/workloads/NeonResizeWorkload.cpp')
-rw-r--r-- | src/backends/neon/workloads/NeonResizeWorkload.cpp | 72 |
1 files changed, 72 insertions, 0 deletions
diff --git a/src/backends/neon/workloads/NeonResizeWorkload.cpp b/src/backends/neon/workloads/NeonResizeWorkload.cpp new file mode 100644 index 0000000000..a4e4a4a511 --- /dev/null +++ b/src/backends/neon/workloads/NeonResizeWorkload.cpp @@ -0,0 +1,72 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "NeonResizeWorkload.hpp" + +#include "NeonWorkloadUtils.hpp" + +#include <aclCommon/ArmComputeUtils.hpp> +#include <aclCommon/ArmComputeTensorUtils.hpp> +#include <backendsCommon/CpuTensorHandle.hpp> +#include <neon/NeonTensorHandle.hpp> + +using namespace armnn::armcomputetensorutils; + +namespace armnn +{ + +arm_compute::Status NeonResizeWorkloadValidate(const TensorInfo& input, + const TensorInfo& output, + const ResizeDescriptor& descriptor) +{ + arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input); + arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output); + + arm_compute::DataLayout aclDataLayout = ConvertDataLayout(descriptor.m_DataLayout); + aclInputInfo.set_data_layout(aclDataLayout); + aclOutputInfo.set_data_layout(aclDataLayout); + + arm_compute::InterpolationPolicy aclInterpolationPolicy = + ConvertResizeMethodToAclInterpolationPolicy(descriptor.m_Method); + + return arm_compute::NEScale::validate(&aclInputInfo, + &aclOutputInfo, + aclInterpolationPolicy, + arm_compute::BorderMode::REPLICATE, + arm_compute::PixelValue(0.f), + arm_compute::SamplingPolicy::TOP_LEFT); +} + +NeonResizeWorkload::NeonResizeWorkload(const ResizeQueueDescriptor& descriptor, + const WorkloadInfo& info) + : BaseWorkload<ResizeQueueDescriptor>(descriptor, info) +{ + m_Data.ValidateInputsOutputs("NeonResizeWorkload", 1, 1); + + arm_compute::ITensor& input = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); + arm_compute::ITensor& output = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); + + arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout); + input.info()->set_data_layout(aclDataLayout); + output.info()->set_data_layout(aclDataLayout); + + arm_compute::InterpolationPolicy aclInterpolationPolicy = + ConvertResizeMethodToAclInterpolationPolicy(descriptor.m_Parameters.m_Method); + + m_ResizeLayer.configure(&input, + &output, + aclInterpolationPolicy, + arm_compute::BorderMode::REPLICATE, + arm_compute::PixelValue(0.f), + arm_compute::SamplingPolicy::TOP_LEFT); +}; + +void NeonResizeWorkload::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonResizeWorkload_Execute"); + m_ResizeLayer.run(); +} + +} //namespace armnn |